Abstract: During text-to-speech processing, a speech model creates output audio data, including speech, that corresponds to input text data that includes a representation of the speech. A spectrogram estimator estimates a frequency spectrogram of the speech; the corresponding frequency-spectrogram data is used to condition the speech model. A plurality of acoustic features corresponding to different segments of the input text data, such as phonemes, syllable-level features, and/or word-level features, may be separately encoded into context vectors; the spectrogram estimator uses these separate context vectors to create the frequency spectrogram.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for managing training for models. An example apparatus includes a processor circuitry to at least obtain a request to train or retrain a model, respond to the request by preventing the train or retraining, calculate at least one performance metric, and compare performance metric corresponding to current model execution to at least one threshold performance metric.

Abstract: A method of hardening the surface of steel work pieces is disclosed wherein the work piece is first treated with a solution to cause the blackening thereof and subsequently subjected to a laser beam for a time sufficient to raise the surface temperature thereof into the austenitic phase.